PipAttack: Poisoning Federated Recommender Systems forManipulating Item Promotion

21 October 2021

Shijie Zhang

Hongzhi Yin

Tong Chen

Zi Huang

Quoc Viet Hung Nguyen

Papers citing "PipAttack: Poisoning Federated Recommender Systems forManipulating Item Promotion"

35 / 35 papers shown

Title
Diversity-aware Dual-promotion Poisoning Attack on Sequential Recommendation Yuchuan Zhao Tong Chen Junliang Yu Kai Zheng Lizhen Cui Hongzhi Yin 21 0 0 09 Apr 2025
Preventing the Popular Item Embedding Based Attack in Federated Recommendations J. Zhang Huan Li Dazhong Rong Yan Zhao Ke Chen Lidan Shou AAML 67 4 0 18 Feb 2025
DV-FSR: A Dual-View Target Attack Framework for Federated Sequential Recommendation Qitao Qin Yucong Luo Mingyue Cheng Qingyang Mao Chenyi Lei FedML 47 0 0 31 Dec 2024
A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security Qianru Zhang Peng Yang Junliang Yu Haixin Wang Xingwei He S. Yiu Hongzhi Yin 41 0 0 03 Oct 2024
A Deep Dive into Fairness, Bias, Threats, and Privacy in Recommender Systems: Insights and Future Research Falguni Roy Xiaofeng Ding K. -K. R. Choo Pan Zhou FaML 23 0 0 19 Sep 2024
Adversarial Text Rewriting for Text-aware Recommender Systems Ganesh Ghalme Reshef Meir Srijan Kumar 42 0 0 01 Aug 2024
Marking the Pace: A Blockchain-Enhanced Privacy-Traceable Strategy for Federated Recommender Systems Zhen Cai Tao Tang Shuo Yu Yunpeng Xiao Feng Xia 40 1 0 07 Jun 2024
Poisoning Attacks and Defenses in Recommender Systems: A Survey Zongwei Wang Junliang Yu Min Gao Wei Yuan Guanhua Ye S. Sadiq Hongzhi Yin AAML 43 6 0 03 Jun 2024
Hate Speech Detection with Generalizable Target-aware Fairness Tong Chen Danny Wang Xurong Liang Marten Risius Gianluca Demartini Hongzhi Yin 29 3 0 28 May 2024
Graph Condensation for Open-World Graph Learning Xin Gao Tong Chen Wentao Zhang Yayong Li Xiangguo Sun Hongzhi Yin 37 7 0 27 May 2024
Manipulating Recommender Systems: A Survey of Poisoning Attacks and Countermeasures Thanh Toan Nguyen Quoc Viet Hung Nguyen Thanh Tam Nguyen T. T. Huynh Thanh Thi Nguyen Matthias Weidlich Hongzhi Yin AAML 23 21 0 23 Apr 2024
Poisoning Decentralized Collaborative Recommender System and Its Countermeasures Ruiqi Zheng Liang Qu Tong Chen Kai Zheng Yuhui Shi Hongzhi Yin 29 7 0 01 Apr 2024
Poisoning Federated Recommender Systems with Fake Users Ming Yin Yichang Xu Minghong Fang Neil Zhenqiang Gong AAML FedML 24 13 0 18 Feb 2024
Causal Learning for Trustworthy Recommender Systems: A Survey Jin Li Shoujin Wang Qi Zhang LongBing Cao Fang Chen Xiuzhen Zhang Dietmar Jannach Charu C. Aggarwal CML 37 1 0 13 Feb 2024
Securing Recommender System via Cooperative Training Qingyang Wang Chenwang Wu Defu Lian Enhong Chen AAML 15 2 0 23 Jan 2024
Towards Efficient Communication and Secure Federated Recommendation System via Low-rank Training Ngoc-Hieu Nguyen Tuan Nguyen Tuan Nguyen Vu Tien Hoang Dung D. Le Kok-Seng Wong FedML 15 6 0 08 Jan 2024
Attacking Byzantine Robust Aggregation in High Dimensions Sarthak Choudhary Aashish Kolluri Prateek Saxena AAML 27 1 0 22 Dec 2023
Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks Zongwei Wang Junliang Yu Min Gao Hongzhi Yin Bin Cui S. Sadiq AAML 26 7 0 30 Nov 2023
A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective Xianghua Xie Chen Hu Hanchi Ren Jingjing Deng FedML AAML 29 19 0 27 Nov 2023
Defense Against Model Extraction Attacks on Recommender Systems Sixiao Zhang Hongzhi Yin Hongxu Chen Cheng Long AAML 27 4 0 25 Oct 2023
Out of the Box Thinking: Improving Customer Lifetime Value Modelling via Expert Routing and Game Whale Detection Shi-jing Zhang Xin Yan Xuejiao Yang Binfeng Jia Shuangyang Wang 21 9 0 24 Aug 2023
A Survey on Popularity Bias in Recommender Systems Anastasiia Klimashevskaia Dietmar Jannach Mehdi Elahi C. Trattner 18 34 0 02 Aug 2023
Recent Developments in Recommender Systems: A Survey Yang Li Kangbo Liu Ranjan Satapathy Suhang Wang Erik Cambria OffRL 71 31 0 22 Jun 2023
Large-Scale Distributed Learning via Private On-Device Locality-Sensitive Hashing Tahseen Rabbani Marco Bornstein Fu-Hui Huang 9 1 0 05 Jun 2023
Turning Privacy-preserving Mechanisms against Federated Learning Marco Arazzi Mauro Conti Antonino Nocera S. Picek AAML FedML 19 15 0 09 May 2023
Semi-decentralized Federated Ego Graph Learning for Recommendation Liang Qu Ningzhi Tang Ruiqi Zheng Quoc Viet Hung Nguyen Zi Huang Yuhui Shi Hongzhi Yin FedML 74 51 0 10 Feb 2023
Dual Personalization on Federated Recommendation Chunxu Zhang Guodong Long Tianyi Zhou Peng Yan Zijian Zhang Chengqi Zhang Bo Yang FedML 18 29 0 16 Jan 2023
A Survey on Federated Recommendation Systems Zehua Sun Yonghui Xu Y. Liu Weiliang He Lanju Kong Fangzhao Wu Y. Jiang Li-zhen Cui FedML 24 60 0 27 Dec 2022
Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense Yang Yu Qi Liu Likang Wu Runlong Yu Sanshi Lei Yu Zaixin Zhang FedML 17 44 0 11 Dec 2022
Rethinking the Reverse-engineering of Trojan Triggers Zhenting Wang Kai Mei Hailun Ding Juan Zhai Shiqing Ma 18 45 0 27 Oct 2022
Analyzing the Robustness of Decentralized Horizontal and Vertical Federated Learning Architectures in a Non-IID Scenario Pedro Miguel Sánchez Sánchez Alberto Huertas Celdrán Enrique Tomás Martínez Beltrán Daniel Demeter Gérome Bovet Gregorio Martínez Pérez Burkhard Stiller AAML FedML 11 6 0 20 Oct 2022
Heterogeneous Collaborative Learning for Personalized Healthcare Analytics via Messenger Distillation Guanhua Ye Tong Chen Yawen Li Li-zhen Cui Quoc Viet Hung Nguyen Hongzhi Yin 30 7 0 27 May 2022
Poisoning Deep Learning Based Recommender Model in Federated Learning Scenarios Dazhong Rong Qinming He Jianhai Chen FedML 16 41 0 26 Apr 2022
FedRecAttack: Model Poisoning Attack to Federated Recommendation Dazhong Rong Shuai Ye Ruoyan Zhao Hon Ning Yuen Jianhai Chen Qinming He AAML FedML 13 57 0 01 Apr 2022
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 179 1,032 0 29 Nov 2018